Package: GPM
Type: Package
Title: Gaussian Process Modeling of Multi-Response Datasets
Version: 1.0
Date: 2018-01-03
Author: Ramin Bostanabad
Maintainer: Ramin Bostanabad <bostanabad@u.northwestern.edu>
Description: Provides a general and efficient tool for fitting a response surface to datasets via Gaussian processes. The dataset can have multiple responses. The package is based on the work of Bostanabad, R., Kearney, T., Tao, S., Apley, D. W. & Chen, W. Leveraging the nugget parameter for efficient Gaussian process modeling (2017) <doi:10.1002/nme.5751>.
License: GPL-2
LazyData: FALSE
Imports: lhs(>= 0.14), randtoolbox(>= 1.17), lattice(>= 0.20-34)
Depends: R (>= 3.2.5), stats (>= 3.2.5)
Repository: CRAN
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-04 21:42:24 UTC; ramin
Date/Publication: 2018-01-05 12:10:18 UTC
